Triple
T8334253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nexstar Media Group |
E195147
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
NXST
NXST is the stock ticker symbol for Nexstar Media Group, a major American television broadcasting and media company.
|
E726057
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NXST | Statement: [Nexstar Media Group, tickerSymbol, NXST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NXST Context triple: [Nexstar Media Group, tickerSymbol, NXST]
-
A.
NCS-X
NCS-X is a U.S. initiative aimed at improving national crime data collection and reporting by expanding participation in detailed, incident-based crime statistics systems.
-
B.
NST
NST is the standard time abbreviation for the Newfoundland Time Zone, which is uniquely offset by 3.5 hours from Coordinated Universal Time (UTC−3:30).
-
C.
XNM
XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
-
D.
NAX
NAX is the ICAO airline designator used for Norwegian Air Shuttle, a major low-cost carrier based in Norway.
-
E.
NQX
NQX is a high-assurance network encryption and secure communications solution developed by SSH Communications Security for protecting critical data in transit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NXST Triple: [Nexstar Media Group, tickerSymbol, NXST]
Generated description
NXST is the stock ticker symbol for Nexstar Media Group, a major American television broadcasting and media company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NXST Target entity description: NXST is the stock ticker symbol for Nexstar Media Group, a major American television broadcasting and media company.
-
A.
NCS-X
NCS-X is a U.S. initiative aimed at improving national crime data collection and reporting by expanding participation in detailed, incident-based crime statistics systems.
-
B.
NST
NST is the standard time abbreviation for the Newfoundland Time Zone, which is uniquely offset by 3.5 hours from Coordinated Universal Time (UTC−3:30).
-
C.
XNM
XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
-
D.
NAX
NAX is the ICAO airline designator used for Norwegian Air Shuttle, a major low-cost carrier based in Norway.
-
E.
NQX
NQX is a high-assurance network encryption and secure communications solution developed by SSH Communications Security for protecting critical data in transit.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fbe61f481909cde8ab2c42f89fc |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95d19178819090815692e847c4e0 |
completed | April 1, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69cdab61d00c81909ce2c0d718a2dc1a |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2ef889c8190af6efb9473f8804c |
completed | April 2, 2026, 12:06 a.m. |
Created at: March 30, 2026, 5:57 p.m.